Data Analytics and Intelligence Solutions

In today’s world where everyone and everything (i.e., IoT) is tracked digitally, there is a massive influx of data coming from different sources. With our expertise in Cortana Intelligence, Microsoft SQL Server 2016, Microsoft R, Power BI and a range of OpenSource technologies such as Hadoop and Spark, we are a boutique advanced analytics firm that provides services to help businesses make data-driven business decisions, improve customer engagement and increase revenue.

SNP Technologies’ team of innovative scientists and engineers, use a combination of deep domain knowledge and technical expertise, including data science, analytics and software engineering to give our customers a cohesive set of solutions for capturing, processing and analyzing data. Plus, we provide clients with live dashboards and real-time, interactive reports, providing them with access to their data anywhere and anytime.

Our Process

Engage

In many cases, companies don’t realize all the structured and unstructured data sets they have, let alone how these data sets relate to each other. With our deep engagement process, our project managers help create a prioritized roadmap of short, medium and long-term projects by collecting all relevant information. We also help customers define their business objectives, understand their data challenges and align their business goals, enabling them to deliver measurable objectives.

Design

Data analysis is not black and white. To mine data and discover patterns and relationships, we use tools like Cortana Intelligence, Microsoft SQL Server 2016, Microsoft R, Power BI and a range of OpenSource technologies such as Hadoop and Spark to acquire and assess data quality and apply predictive analytics to yield the insights companies seek.

Implement

Companies that want to use data analytics to drive key operational decisions must consider how to automate and optimize these solutions and business processes. SNP Technologies helps with these initiatives by providing recommendations, reports, briefings, technical documents, running pilot tests, implementing models in production environments, and integrating analytical scores into management dashboards and operational systems.

Meet your Project Team

PROJECT MANAGER

Develops the project plan, works with the client’s point of contact and ensures the delivery budget and timeline.

DATA SOLUTIONS ARCHITECT

CLOUD SOLUTIONS ARCHITECT

Builds the right Azure Architecture, and ensures that the software and architecture are in synchronization.

BUSINESS INTELLIGENCE ANALYST

Analyzes data from multiple sources and develops a picture of where the company stands in the industry, where they can improve and where they can reduce costs. Implements machine learning models and creates Azure machine learning API for predictive analysis.

CLOUD BASED ANALYTICS WITH AZURE MACHINE LEARNING

Enterprises are leveraging Azure Machine Learning with the Cortana Analytics Suite to build, deploy and share flexible solutions and manage their growing data volumes. We tailor cloud-based machine learning models that suit your business needs, using various open source technologies and Microsoft’s proven algorithms which are offered as fully managed web services with limitless scalability, availability and security. These models can be deployed in minutes, providing insights and solutions to resilient and persistent issues and enabling your company to make smart business decisions.

ADVANCED ANALYTICS WITH AZURE ANALYSIS SERVICES

While data is pervasive, turning it into actionable intelligence is elusive for many companies. With Azure Analysis Services and SNP Technologies’ expertise, we’ll help you shift from a historical “what” mindset to understanding “why” specific outcomes are happening and helping your organization develop a much higher level of analytic maturity and sophistication.

PREDICTIVE ANALYTICS WITH MICROSOFT AZURE

Using statistical algorithms and machine learning techniques, enterprises can analyze current and historical data and gain a behavior-based understanding of customers’ interests in, needs for and consumption of products and services. Predictive analytics also gives users insights on how to improve sustainability, raise product quality, improve worker safety, optimize production and supply to orders.